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Apac Data Scientist-Tech Accelerator Shanghai Hub

国家/地区 : 中国 中国

省份 : 上海

城市 : Shanghai

类别 : 生产-质检

合同类别 : 正式员工

工作性质 : 全职

职位描述

The tech hub will work on strategic use cases which focus on data, AI, machine learning and cover scopes from operations
to digital. The data scientist position is a new role and important for the tech hub. This is a great opportunity to create real value from data, working with new and innovative programs.
Tasks
-Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
-Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
-Assess the effectiveness and accuracy of new data sources and data gathering techniques.
-Develop custom data models and algorithms to apply to data sets.
-Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
-Develop company A/B testing framework and test model quality.
-Coordinate with different functional teams to implement models and monitor outcomes.
-Develop processes and tools to monitor and analyze model performance and data accuracy.

职位要求

-Coding knowledge and experience with several languages: C, C++, Java, JavaScript , Python
-Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
-Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
-Experience using web services: Redshift, S3, Spark, DigitalOcean , Azure, Alicloud etc
-Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
-Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics , Adwords , Crimson Hexagon, Facebook Insights,
-Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi , MySQL, etc.
-Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot , etc.
Qualifications
-Coding knowledge and experience with several languages: C, C++, Java, JavaScript, Python etc.
-Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
- Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
- Experience using web services: Redshift, S3, Spark, DigitalOcean ,
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
- Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics , Adwords , Crimson Hexagon, Facebook Insights,
- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi , MySQL, etc.
- Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot , etc
- We're looking for someone with 5 7 years of experience manipulating data sets and building statistical models, has a Master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field.
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